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Data Scientist – Data Recommendation Engine

you a Data Scientist with experience building consumer-facing products?  Does the idea of working with recommender systems and search algorithms excite you?  Do you geek out over uncovering hidden insights from user-generated data and usage logs?  If you are a Data Scientist looking for an opportunity to work on a data-driven consumer-facing product, this role may well be a fit! This well-funded (almost $15M in VC funding) startup that launched in 2013 now has tens of thousands of subscribers and is already generating millions in revenue.  Their subscription service offers up Netflix-style recommendations via their algorithmic data recommendation platform.  They are looking for a Data Scientist to help make sense of the wealth of data generated by their users.    WHAT YOU WILL BE DOING: Work closely with the design and engineering teams to improve the onboarding, discovery, and search experience Work across the full range of data-related problems and find creative ways to solve problems with data Determine what data to collect and implement new product features to leverage that data Design and build the systems needed to collect, store, and analyze data Scale data efforts along with user base WHAT YOU NEED: MS or PhD in Computer Science/Machine Learning or a BS with extensive data experience Experience building consumer-facing products Experience with recommender systems and search algorithms Ability to take a feature from whiteboard to launch (with minimal engineering support) BONUS SKILLS: Knowledge/exposure to Python Experience with NLP Data warehousing experience WHAT YOU GET: Competitive compensation of $150K + equity Full benefits – medical and dental Your choice of computer setup Unlimited vacation policy Work in a fast-paced, challenging environment  Team outings and dinners, collaborative environment So, if you are a Data Scientist with experience solving interesting challenges with data and are interested in working for the next Netflix, please apply today!

Dearborn, Michigan